NDLI: Acquisition of accurate distance information in stereovision using move-parallel method for teleoperation

Content Provider	IEEE Xplore Digital Library
Author	Mizukami, M. Hongte, K. Takeno, J.
Copyright Year	2005
Description	Author affiliation: Robot & Sci. Lab., Meiji Univ., Kanagawa, Japan (Mizukami, M.; Hongte, K.; Takeno, J.)
Abstract	The authors have developed a new stereo image shooting method, named the move-parallel method. There are two conventional stereo image shooting methods: the parallel-view method and the cross-eyed method. The parallel-view method allows the user to shoot and supply images that are free from geometric distortion, and thus is suitable for shooting distant views in consideration of the significant visual burden. The cross-eyed method uses the cross point to adjust the parallax of the object, but the perception of space is inevitably distorted in terms of binocular parallax. The new move-parallel method generates geometric distortion-free images by using the same shooting technique as the parallel-view method and offers easy-to-view images equivalent to those obtained with the cross-eyed method. This is achieved by moving the captured right and left images until the parallax of the object to be fixated disappears by image processing. It is important in teleoperation to capture correct information on the distance to the object to be fixated and to other objects. The authors conducted several experiments to evaluate the features of the move-parallel method. This paper reports on the method, which reduces distortion of space perception in terms of binocular parallax, provides correct distance information to the observer, and reduces the visual burden of viewing stereo images.
Starting Page	1197
Ending Page	1202
File Size	363541
Page Count	6
File Format	PDF
ISBN	078039044X
DOI	10.1109/ICMA.2005.1626723
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Focusing Remote monitoring Eyes Liquid crystal displays Robots Image generation Image processing Cameras Glass
Content Type	Text
Resource Type	Article

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